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Int. J. Mol. Sci. 2017, 18(3), 546; doi:10.3390/ijms18030546

Proteome Analysis of Human Follicular Thyroid Cancer Cells Exposed to the Random Positioning Machine

1
Max-Planck-Institute for Biochemistry, Scientific Information Services, 82152 Martinsried, Germany
2
Clinic and Policlinic for Plastic, Aesthetic and Hand Surgery, Otto-von-Guericke-University, 39120 Magdeburg, Germany
3
Department of Nuclear Medicine, University Hospital, University of Regensburg, 95053 Regensburg, Germany
4
Department of Biomedicine, Aarhus University, 8000 Aarhus C, Denmark
*
Author to whom correspondence should be addressed.
Academic Editor: Anthony Lemarié
Received: 26 October 2016 / Revised: 27 February 2017 / Accepted: 27 February 2017 / Published: 3 March 2017
(This article belongs to the Special Issue Current Knowledge in Thyroid Cancer—From Bench to Bedside)
View Full-Text   |   Download PDF [3582 KB, uploaded 3 March 2017]   |  

Abstract

Several years ago, we detected the formation of multicellular spheroids in experiments with human thyroid cancer cells cultured on the Random Positioning Machine (RPM), a ground-based model to simulate microgravity by continuously changing the orientation of samples. Since then, we have studied cellular mechanisms triggering the cells to leave a monolayer and aggregate to spheroids. Our work focused on spheroid-related changes in gene expression patterns, in protein concentrations, and in factors secreted to the culture supernatant during the period when growth is altered. We detected that factors inducing angiogenesis, the composition of integrins, the density of the cell monolayer exposed to microgravity, the enhanced production of caveolin-1, and the nuclear factor kappa B p65 could play a role during spheroid formation in thyroid cancer cells. In this study, we performed a deep proteome analysis on FTC-133 thyroid cancer cells cultured under conditions designed to encourage or discourage spheroid formation. The experiments revealed more than 5900 proteins. Their evaluation confirmed and explained the observations mentioned above. In addition, we learned that FTC-133 cells growing in monolayers or in spheroids after RPM-exposure incorporate vinculin, paxillin, focal adhesion kinase 1, and adenine diphosphate (ADP)-ribosylation factor 6 in different ways into the focal adhesion complex. View Full-Text
Keywords: cellular compartments; mass spectrometry; proteomics; pathway analysis; random positioning machine cellular compartments; mass spectrometry; proteomics; pathway analysis; random positioning machine
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Bauer, J.; Kopp, S.; Schlagberger, E.M.; Grosse, J.; Sahana, J.; Riwaldt, S.; Wehland, M.; Luetzenberg, R.; Infanger, M.; Grimm, D. Proteome Analysis of Human Follicular Thyroid Cancer Cells Exposed to the Random Positioning Machine. Int. J. Mol. Sci. 2017, 18, 546.

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